Method and device for classifying object

Abstract

The invention relates to a method and a device for classifying an object. The embodiment of the invention provides a method for determining a group of the object in network, the method includes that the interaction of at least one object is processed to generate a first numerical value, and the first numerical value is relevant to a first object; the degree of correlation between the first object and a first group is calculated according to the first numerical value; and if the degree of correlation is larger than a preset threshold value, the first object is enabled to be relevant to the first group. By means of the scheme, the degree of correlation between the first object and the first group can be quantified, then whether the first object and the first group are necessary to be relevant to each other or not is determined, an active relevance is performed between objects or between the object and the group of a high degree of correlation, and accordingly, the problem that the network object is added into an inappropriate target group caused by the fact that the group recommendation is faulty or inappropriate is effectively avoided.

Description

technical field [0001] The invention relates to the technical field of information mining, in particular to a method and device for determining and classifying objects in a network. Background technique [0002] Social network (Social network), or social network (Social Network Service), is a social structure composed of many nodes. Nodes usually refer to individuals or organizations. Social networks represent various social relationships. Through these social relationships, the A string of people or organizations ranging from casual acquaintances through casual acquaintances to tight-knit family ties. Social networks consist of one or more specific types of interdependence, such as values, partnerships, ideas, financial exchanges, friendships, blood ties, workplaces, conflicts, or trade. The resulting topology of relationships between objects in social networks is often very complex. [0003] According to a new survey from security software company Webroot, about a third ...

AI Technical Summary

Problems solved by technology

At the same time, three out of ten surveyed social network users have experienced being passively classified into inappropriate friend circles on social networking sites, which has brought confusion to the management of their users' friends, and even caused financial losses. Security threats such as information loss, identity theft and malware infection, "phishing"

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